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Machine Unlearning

Machine Unlearning

9 December 2019
Lucas Bourtoule
Varun Chandrasekaran
Christopher A. Choquette-Choo
Hengrui Jia
Adelin Travers
Baiwu Zhang
David Lie
Nicolas Papernot
    MU
ArXivPDFHTML

Papers citing "Machine Unlearning"

24 / 524 papers shown
Title
Bayesian Inference Forgetting
Bayesian Inference Forgetting
Shaopeng Fu
Fengxiang He
Yue Xu
Dacheng Tao
MU
23
12
0
16 Jan 2021
Coded Machine Unlearning
Coded Machine Unlearning
Nasser Aldaghri
Hessam Mahdavifar
Ahmad Beirami
MIACV
27
37
0
31 Dec 2020
Federated Unlearning
Federated Unlearning
Gaoyang Liu
Xiaoqiang Ma
Yang Yang
Chen Wang
Jiangchuan Liu
MU
43
53
0
27 Dec 2020
Mixed-Privacy Forgetting in Deep Networks
Mixed-Privacy Forgetting in Deep Networks
Aditya Golatkar
Alessandro Achille
Avinash Ravichandran
M. Polito
Stefano Soatto
CLL
MU
130
159
0
24 Dec 2020
Selective Forgetting of Deep Networks at a Finer Level than Samples
Selective Forgetting of Deep Networks at a Finer Level than Samples
Tomohiro Hayase
S. Yasutomi
Takashi Katoh
13
10
0
22 Dec 2020
Class Clown: Data Redaction in Machine Unlearning at Enterprise Scale
Class Clown: Data Redaction in Machine Unlearning at Enterprise Scale
Daniel L. Felps
Amelia D. Schwickerath
Joyce D. Williams
Trung N. Vuong
Alan Briggs
M. Hunt
Evan Sakmar
David D. Saranchak
Tyler Shumaker
AILaw
20
12
0
08 Dec 2020
Online Forgetting Process for Linear Regression Models
Online Forgetting Process for Linear Regression Models
Yuantong Li
ChiHua Wang
Guang Cheng
MU
KELM
6
21
0
03 Dec 2020
Variational Bayesian Unlearning
Variational Bayesian Unlearning
Q. Nguyen
Bryan Kian Hsiang Low
Patrick Jaillet
BDL
MU
27
121
0
24 Oct 2020
Amnesiac Machine Learning
Amnesiac Machine Learning
Laura Graves
Vineel Nagisetty
Vijay Ganesh
MU
MIACV
16
245
0
21 Oct 2020
Machine Unlearning for Random Forests
Machine Unlearning for Random Forests
Jonathan Brophy
Daniel Lowd
MU
19
158
0
11 Sep 2020
SoK: Certified Robustness for Deep Neural Networks
SoK: Certified Robustness for Deep Neural Networks
Linyi Li
Tao Xie
Bo-wen Li
AAML
33
128
0
09 Sep 2020
A Survey on Negative Transfer
A Survey on Negative Transfer
Wen Zhang
Lingfei Deng
Lei Zhang
Dongrui Wu
AAML
27
205
0
02 Sep 2020
How Does Data Augmentation Affect Privacy in Machine Learning?
How Does Data Augmentation Affect Privacy in Machine Learning?
Da Yu
Huishuai Zhang
Wei Chen
Jian Yin
Tie-Yan Liu
MU
19
1
0
21 Jul 2020
Descent-to-Delete: Gradient-Based Methods for Machine Unlearning
Descent-to-Delete: Gradient-Based Methods for Machine Unlearning
Seth Neel
Aaron Roth
Saeed Sharifi-Malvajerdi
MU
17
250
0
06 Jul 2020
DeltaGrad: Rapid retraining of machine learning models
DeltaGrad: Rapid retraining of machine learning models
Yinjun Wu
Yan Sun
S. Davidson
MU
25
196
0
26 Jun 2020
SECure: A Social and Environmental Certificate for AI Systems
SECure: A Social and Environmental Certificate for AI Systems
Abhishek Gupta
Camylle Lanteigne
Sara Kingsley
11
13
0
11 Jun 2020
When Machine Unlearning Jeopardizes Privacy
When Machine Unlearning Jeopardizes Privacy
Min Chen
Zhikun Zhang
Tianhao Wang
Michael Backes
Mathias Humbert
Yang Zhang
MIACV
31
217
0
05 May 2020
Learn to Forget: Machine Unlearning via Neuron Masking
Learn to Forget: Machine Unlearning via Neuron Masking
Yang Liu
Zhuo Ma
Ximeng Liu
Jian-wei Liu
Zhongyuan Jiang
Jianfeng Ma
Philip Yu
K. Ren
MU
20
61
0
24 Mar 2020
Vulnerabilities of Connectionist AI Applications: Evaluation and Defence
Vulnerabilities of Connectionist AI Applications: Evaluation and Defence
Christian Berghoff
Matthias Neu
Arndt von Twickel
AAML
30
23
0
18 Mar 2020
Towards Probabilistic Verification of Machine Unlearning
Towards Probabilistic Verification of Machine Unlearning
David M. Sommer
Liwei Song
Sameer Wagh
Prateek Mittal
AAML
13
71
0
09 Mar 2020
Forgetting Outside the Box: Scrubbing Deep Networks of Information
  Accessible from Input-Output Observations
Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations
Aditya Golatkar
Alessandro Achille
Stefano Soatto
MU
OOD
20
188
0
05 Mar 2020
Formalizing Data Deletion in the Context of the Right to be Forgotten
Formalizing Data Deletion in the Context of the Right to be Forgotten
Sanjam Garg
S. Goldwasser
Prashant Nalini Vasudevan
AILaw
MU
35
82
0
25 Feb 2020
Machine Unlearning: Linear Filtration for Logit-based Classifiers
Machine Unlearning: Linear Filtration for Logit-based Classifiers
Thomas Baumhauer
Pascal Schöttle
Matthias Zeppelzauer
MU
111
130
0
07 Feb 2020
Analyzing Information Leakage of Updates to Natural Language Models
Analyzing Information Leakage of Updates to Natural Language Models
Santiago Zanella Béguelin
Lukas Wutschitz
Shruti Tople
Victor Rühle
Andrew J. Paverd
O. Ohrimenko
Boris Köpf
Marc Brockschmidt
ELM
MIACV
FedML
PILM
KELM
6
125
0
17 Dec 2019
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